Telecommunications Science ›› 2015, Vol. 31 ›› Issue (9): 97-102.doi: 10.11959/j.issn.1000-0801.2015213

• Research and development • Previous Articles     Next Articles

Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect

Pubo Huang1,Yu Wei1,2   

  1. 1 Wuhan University of Science and Technology, Wuhan 430070, China
    2 Huazhong University of Science and Technology, Wuhan 430047, China
  • Online:2015-09-15 Published:2015-10-19

Abstract:

According to the characteristics of glowworm swarm optimization(GSO)algorithm, to overcome the disadvantages of premature convergence, a new method called “baffle effect”was proposed. The diversity of swarm was expanded. Based on the analysis of the model of nonlinear blind source separation(NBSS), using traversing glowworm swarm twice, comparing evaluation function, the best result was get. Their validity is confirmed by effect of the signal separation test.

Key words: nonlinear blind source separation, glowworm swarm optimization, baffle effect

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